Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 175

Metrics Engineering Energy Tuning 175

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Custom log metrics.

Metrics 207

Metrics Innovation Strategy Monitoring 207

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. DevSecOps and SRE : Observability is not just the result of implementing advanced tools, but a foundational property of an application and its supporting infrastructure.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 3, 2024

To address this, many states apply for federal funding to build a security operations center to proactively defend against the growing rate of cybersecurity threats and ensure the resilience of digital infrastructure. For metrics in particular, important context includes dimensions, relationships to other metrics, and metadata.

Government 156

Government Social Media Metrics Infrastructure 156

Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. Dynatrace Davis , our deterministic AI, recently notified our teams about a problem in one of our Keptn instances we just recently spun up to demo our automated performance analysis capabilities orchestrated by Keptn. Dynatrace news.

Metrics 214

Metrics DevOps Engineering Strategy 214

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. While cloud deployments offer benefits, they also pose management challenges—especially in multicloud strategies that use various cloud providers.

Cloud 201

Cloud Strategy Metrics Government 201

Dynatrace

SEPTEMBER 21, 2023

How Dynatrace tracks and mitigates its own IT carbon footprint Like many tech companies, Dynatrace is experiencing increased demand for its SaaS-based Dynatrace platform , which we host on cloud infrastructure. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.

Infrastructure 196

Infrastructure Monitoring Virtualization Serverless 196

Dynatrace

JULY 31, 2020

We’re happy to announce that with Dynatrace version 1.198, we’ve dramatically improved CPU analysis, allowing you to easily understand CPU consumption over time, in the context of your workloads. All deeper analysis actions are performed across the entire timeframe. Fully automated code-level visibility.

Monitoring 227

Monitoring Performance Java Processing 227

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Grail, alongside Dynatrace Davis AI, enables organizations to move beyond simple event correlation and to identify the root cause of problems in their applications and infrastructure.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Development and demand for AI tools come with a growing concern about their environmental cost.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

JULY 18, 2023

Advanced observability can eliminate blind spots surrounding application performance, health, and behavior for these critical applications and the infrastructure that supports them. Infrastructure monitoring automatically analyzes key health metrics and discovers performance problems caused by infrastructure bottlenecks or changes.

Government 215

Government Infrastructure Monitoring Database 215

Dynatrace

JULY 8, 2020

One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. In your monitoring strategy, you need to consider a comprehensive , single-pane of glass, approach: ? .

Infrastructure 196

Infrastructure Monitoring Cloud Metrics 196

Dynatrace

JANUARY 31, 2024

Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 182

Analytics Java Infrastructure Cloud 182

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Define core metrics.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Dynatrace

AUGUST 21, 2023

Additionally, a unified log management solution can help to automate many of the tasks associated with log management, such as correlation and analysis. This can free up time for teams to focus on other tasks, such as troubleshooting and root-cause analysis. Free IT teams to focus on and support product innovation.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. It is recommended to employ an active/active strategy in a gradual manner.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics.

Analytics 187

Analytics Software Software Storage 187

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

OCTOBER 7, 2021

Deployment Strategies We are all familiar with the advantages of releasing frequently and in smaller chunks. Depending on the type of client, we need to determine the right strategy to sample consumer devices, and provide a system that can enable various client engineering teams to look for their signals.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

JANUARY 22, 2024

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting. What is AIOps, and how does it work?

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. which shows your operational efficiency in your software delivery pipeline.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JUNE 9, 2023

When it comes to extracting insight, however, teams need to transfer data to a warehouse technology so technologies can aggregate and prepare it for analysis. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

OCTOBER 4, 2023

Thus, while business resilience is about protecting against unforeseen risk, it also enables an organization to develop a forward-looking strategy that helps it thrive in uncertain times. To bounce forward, organizations need a strategy to build business resilience. This strategy involves people, process, and technology.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

JANUARY 5, 2021

OpenShift and Kubernetes simplify access to underlying infrastructure and help manage the application lifecycle and development workflows. The concept of automation has become part of organizations’ overall digital transformation strategy for cloud-native environments. OpenShift automation. Why is automation so important?

Cloud 259

Cloud Infrastructure Operating System Monitoring 259

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Based on this analysis, these systems can take actions such as alerting or remediation. Monitoring your i nfrastructure.

Analytics 237

Analytics Infrastructure AWS Operating System 237